Building on Success in Genetic Programming: Adaptive Variation and Developmental Evaluation Export

@incollection{citeulike:2373497, abstract = {We investigate a developmental tree-adjoining grammar guided genetic programming system (DTAG3P + ), in which genetic operator application rates are adapted during evolution. We previously showed developmental evaluation could promote structured solutions and improve performance in symbolic regression problems. However testing on parity problems revealed an unanticipated problem, that good building blocks for early developmental stages might be lost in later stages of evolution. The adaptive variation rate in DTAG3P +  preserves good building blocks found in early search for later stages. It gives both good performance on small k-parity problems, and good scaling to large problems.}, author = {Hoang, Tuan-Hao and Essam, Daryl and Mckay, Bob and Hoai, Nguyen-Xuan}, citeulike-article-id = {2373497}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-3-540-74581-5_15}, doi = {10.1007/978-3-540-74581-5_15}, journal = {Advances in Computation and Intelligence}, keywords = {development, evolutionary-computation, genetic-programming, grammar, tag}, pages = {137--146}, posted-at = {2008-02-14 11:52:36}, priority = {3}, title = {Building on Success in Genetic Programming: Adaptive Variation and Developmental Evaluation}, url = {http://dx.doi.org/10.1007/978-3-540-74581-5_15}, year = {2007} }

TY - CHAP ID - citeulike:2373497 L3 - citeulike-article-id:2373497 N2 - We investigate a developmental tree-adjoining grammar guided genetic programming system (DTAG3P + ), in which genetic operator application rates are adapted during evolution. We previously showed developmental evaluation could promote structured solutions and improve performance in symbolic regression problems. However testing on parity problems revealed an unanticipated problem, that good building blocks for early developmental stages might be lost in later stages of evolution. The adaptive variation rate in DTAG3P +  preserves good building blocks found in early search for later stages. It gives both good performance on small k-parity problems, and good scaling to large problems. JF - Advances in Computation and Intelligence EP - 146 TI - Building on Success in Genetic Programming: Adaptive Variation and Developmental Evaluation SP - 137 KW - development KW - evolutionary-computation KW - genetic-programming KW - grammar KW - tag AU - Hoang, Tuan-Hao AU - Essam, Daryl AU - Mckay, Bob AU - Hoai, Nguyen-Xuan PY - 2007/// UR - http://dx.doi.org/10.1007/978-3-540-74581-5_15 ER -